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oai:www.ideals.illinois.edu:2142/83773 2023-07-11 col_2142_5131 col_2142_14787 com_2142_5130 com_2142_9630 com_2142_234

Alleyne, Andrew G. Zheng, Danian 2015-09-25T21:12:01Z 2015-09-25T21:12:01Z 10000-01-01 2002 2002 The control algorithms are implemented and tested on an industrial IMM as well as a smaller physical testbed. The results of the experimental investigations demonstrate several things. The system model is shown to be very accurate and provides an excellent simulation environment for rapid controller design and tuning. The ILC approaches are shown to provide a significant increase in system performance. In addition to the learning controllers, a Bumpless Transfer approach is also utilized to smooth the transition between the separate injection phases. Made available in DSpace on 2015-09-25T21:12:01Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3044273.pdf: 8143379 bytes, checksum: 9654200dd9692015d550a797fa4c5c68 (MD5) Previous issue date: 2002 Embargo set by: Seth Robbins for item 85054 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 265 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002. http://hdl.handle.net/2142/83773 (MiAaPQ)AAI3044273 eng Engineering, Industrial Iterative Learning Control of an Electrohydraulic Injection Molding Machine With Smoothed Fill -to -Pack Transition and Adaptive Filtering text Mechanical Engineering Mechanical Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.